|
|
--- |
|
|
license: cc-by-4.0 |
|
|
task_categories: |
|
|
- automatic-speech-recognition |
|
|
tags: |
|
|
- audio |
|
|
- indic |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
dataset_info: |
|
|
features: |
|
|
- name: audio |
|
|
dtype: audio |
|
|
- name: file_name |
|
|
dtype: string |
|
|
- name: language |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 8169163578.0 |
|
|
num_examples: 93 |
|
|
download_size: 5351310711 |
|
|
dataset_size: 8169163578.0 |
|
|
--- |
|
|
# Indic Conversational ASR Dataset |
|
|
|
|
|
## 📌 Dataset Overview |
|
|
|
|
|
This dataset contains high-quality audio samples curated for **Automatic Speech Recognition (ASR)** tasks. |
|
|
|
|
|
The recordings are optimized for speech recognition and are provided with: |
|
|
|
|
|
- **Sampling Rate:** 16 kHz – 24 kHz |
|
|
- **Bit Depth:** 16-bit |
|
|
- **Audio Type:** Non-scripted conversational speech |
|
|
- **Format:** Dual-speaker conversations |
|
|
|
|
|
--- |
|
|
|
|
|
## 🌏 Supported Languages & Variants |
|
|
|
|
|
| | | | | | |
|
|
|---|---|---|---|---| |
|
|
| Telugu | Kannada | Malayalam | Bengali (IN – Kolkata) | Bengali (IN – Non-Kolkata) | |
|
|
| Bengali (BD)| Assamese | Odia | Gujarati | Marathi | Punjabi | Bhojpuri | Haryanvi | |
|
|
| Tamil | Tamilish | Hinglish | Marvadi | Chhattisgarhi | |
|
|
|
|
|
--- |
|
|
|
|
|
### 👥 Speaker Representation |
|
|
|
|
|
- Dual-speaker conversational recordings |
|
|
- Natural, spontaneous speech |
|
|
- Female speaker representation: **~20%–30%** |
|
|
|
|
|
--- |
|
|
|
|
|
# 🛠 Dataset Creation Methodology |
|
|
|
|
|
## 📥 Data Collection |
|
|
|
|
|
Speech data was collected through micro-communities across India and neighboring regions, spanning: |
|
|
|
|
|
- Tier 1 cities |
|
|
- Tier 2 cities |
|
|
- Tier 3 cities |
|
|
|
|
|
This approach ensured: |
|
|
|
|
|
- Linguistic diversity |
|
|
- Regional accent coverage |
|
|
- Authentic conversational patterns |
|
|
|
|
|
--- |
|
|
|
|
|
## 🎙 Recording Setup |
|
|
|
|
|
- Non-scripted, dual-speaker conversations |
|
|
- Duration: **10–30 minutes per recording** |
|
|
- Topics include: |
|
|
- Business |
|
|
- Finance |
|
|
- Politics |
|
|
- Daily-life discussions |
|
|
|
|
|
--- |
|
|
|
|
|
## ✅ Quality Validation |
|
|
|
|
|
All audio samples underwent automated and manual validation. |
|
|
|
|
|
### 🔍 Automated Checks |
|
|
SRMR • SIGMOS • VQScore • WVMOS |
|
|
|
|
|
**Evaluated:** Signal quality, perceptual clarity, speech intelligibility. |
|
|
|
|
|
### 👥 Human Review |
|
|
Ensured conversational naturalness, audio clarity, and ASR suitability. |
|
|
|
|
|
|
|
|
--- |
|
|
|
|
|
# 🎯 Dataset Intended Purpose |
|
|
|
|
|
## ✔️ Intended Uses |
|
|
|
|
|
This dataset is designed for: |
|
|
|
|
|
- Training and fine-tuning **Automatic Speech Recognition (ASR)** models |
|
|
- Benchmarking conversational ASR systems |
|
|
- Code-mixed speech recognition research |
|
|
- Speaker turn detection and interruption modeling |
|
|
- Informal and spontaneous speech modeling |
|
|
- Emotion recognition research |
|
|
- Speaker interaction analysis |
|
|
- Conversational AI research |
|
|
- Academic and open-source research for low-resource Indic languages |
|
|
|
|
|
--- |
|
|
|
|
|
## 🚫 Out-of-Scope Uses |
|
|
|
|
|
This dataset is **not intended for**: |
|
|
|
|
|
- Real-time, safety-critical, or production-grade systems without additional validation |
|
|
- Commercial deployment without proper attribution and compliance with **CC BY 4.0** |
|
|
- Medical, clinical, legal, or diagnostic decision-making applications |
|
|
|
|
|
--- |
|
|
|
|
|
# 📜 License |
|
|
|
|
|
This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. |
|
|
|
|
|
# 📬 Contact |
|
|
|
|
|
For queries regarding this dataset, please reach out to: |
|
|
|
|
|
**[arunabh@humynlabs.ai]** |
|
|
|
|
|
--- |
